Generative Ai In Action
DOWNLOAD
Download Generative Ai In Action PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Generative Ai In Action book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Generative Ai In Action
DOWNLOAD
Author : Amit Bahree
language : en
Publisher: Simon and Schuster
Release Date : 2024-11-26
Generative Ai In Action written by Amit Bahree and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools
Ai In Action
DOWNLOAD
Author : Simran Pathania
language : en
Publisher: Independently Published
Release Date : 2024-11-25
Ai In Action written by Simran Pathania and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Technology & Engineering categories.
In a world driven by rapid technological advancements, generative AI models are at the forefront of reshaping industries and redefining creativity. This groundbreaking book explores how these powerful tools are revolutionizing innovation across diverse fields-from art and design to healthcare, finance, and beyond. With real-world examples and practical insights, AI in Action delves into the transformative potential of AI, unraveling its capabilities in generating content, solving complex problems, and unlocking new opportunities for businesses and individuals alike. Whether you're an AI enthusiast, a business leader, or a curious learner, this book provides a clear and engaging roadmap to understanding how generative models are changing the way we think, work, and create. Discover the future of innovation with AI in Action!
Introduction To Generative Ai Second Edition
DOWNLOAD
Author : Numa Dhamani
language : en
Publisher: Simon and Schuster
Release Date : 2026-01-13
Introduction To Generative Ai Second Edition written by Numa Dhamani and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.
Get up to speed quickly with generative AI! AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively. In this easy-to-read introduction, you’ll learn: • How large language models (LLMs) work • How to apply AI across personal and professional work • The social, legal, and policy landscape around generative AI • Emerging trends like reasoning models and vibe coding Introduction to Generative AI, Second Edition guides you from your first eye-opening interaction with tools like ChatGPT to how AI tools can transform your personal and professional life safely and responsibly. This second edition has been completely revised to reflect the latest developments in the field—from the latest innovations in prompt engineering and AI agents to fresh coverage of multimodal training, reasoning models, no-code tools, retrieval-augmented generation (RAG), and more. About the book Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage. About the reader For anyone interested in generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.
Generative Ai In Action
DOWNLOAD
Author : Booker Blunt
language : en
Publisher: Independently Published
Release Date : 2025-07-09
Generative Ai In Action written by Booker Blunt and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
Learn how machines create-art, music, and text. Generative AI in Action is a beginner-friendly guide to building creative projects using neural networks and Python. From writing original content to generating music and visual art, this book shows you how to use generative models to unlock the creative side of artificial intelligence. You'll explore powerful tools like GPT, Stable Diffusion, MusicLM, and GANs, and build your own projects with step-by-step code. Whether you're a curious coder, artist, or tech enthusiast, you'll discover how machines can generate surprisingly human-like output-and how you can guide it. Inside this book, you'll learn how to: Use large language models to write stories, poems, and dialogue Generate digital artwork using diffusion models and text prompts Create music patterns and melodies with AI tools Train simple GANs (Generative Adversarial Networks) for custom image output Understand key concepts like latent space, sampling, and prompt engineering Use Python libraries like transformers, diffusers, and magenta Combine AI models into interactive or multimedia applications Each chapter includes working examples, sample prompts, and ideas for customization. You'll also find tips on using open-source models, managing hardware limitations, and navigating ethical questions in creative AI. If you're ready to go beyond consuming AI content and start making it yourself, Generative AI in Action is your starting point.
Test Yourself On Build A Large Language Model From Scratch
DOWNLOAD
Author :
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-22
Test Yourself On Build A Large Language Model From Scratch written by and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! Sebastian Raschka’s bestselling book Build a Large Language Model (From Scratch) is the best way to learn how Large Language Models function. It uses Python and the PyTorch deep learning library. It’s a unique way to learn this subject, which some believe is the only way to truly learn: you build a model yourself. Even with the clear explanations, diagrams, and code in the book, learning a complex subject is still hard. This Test Yourself guide intends to make it a little easier. The structure mirrors the structure of Build a Large Language Model (From Scratch), focusing on key concepts from each chapter. You can test yourself with multiple-choice quizzes, questions on code and key concepts, and questions with longer answers that push you to think critically. The answers to all questions are provided. Depending on what you know at any point, this Test Yourself guide can help you in different ways. It will solidify your knowledge if used after reading a chapter. But it will also benefit you if you digest it before reading. By testing yourself on the main concepts and their relationships you are primed to navigate a chapter more easily and be ready for its messages. We recommend using it before and after reading, as well as later when you have started forgetting. Repeated learning solidifies our knowledge and integrates it with related knowledge already in our long-term memory. What's inside • Questions on code and key concepts • Critical thinking exercises requiring longer answers • Answers for all questions About the reader For readers of Build a Large Language Model (From Scratch) who want to enhance their learning with exercises and self-assessment tools. About the author Curated from Build a Large Language Model (From Scratch)
Spring Ai In Action
DOWNLOAD
Author : Craig Walls
language : en
Publisher: Simon and Schuster
Release Date : 2025-12-02
Spring Ai In Action written by Craig Walls and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-02 with Computers categories.
Use Spring AI to add generative AI features like virtual assistants, text summaries, and suggestions to your Java applications.Generative AI tools like ChatGPT cause an immediate jaw drop for almost everyone who encounters them.Until recently, though, Java developers have had few good tools for adding AI features to existing and new applications.
Representing Plans Under Uncertainty
DOWNLOAD
Author : Peter Haddawy
language : en
Publisher: Springer
Release Date : 1994
Representing Plans Under Uncertainty written by Peter Haddawy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Business & Economics categories.
"This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem. The logical language integrates both modal and probabilistic constructs and allows quantification over time points, probability values, and domain individuals. The language can represent the chance that facts hold and events occur at various times and that actions and other events affect the future. An algorithm for the problem of building construction planning is developed and the logic is used to prove the algorithm correct."--PUBLISHER'S WEBSITE.
Generative Ai Agents In Action
DOWNLOAD
Author : Ferne A Wilson
language : en
Publisher: Independently Published
Release Date : 2025-10-07
Generative Ai Agents In Action written by Ferne A Wilson and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-07 with categories.
Generative AI Agents in Action: Master LangChain, RAG, and Modular Memory to Build Scalable, Production-Ready AI Systems Unlock the full potential of next-generation AI systems learn how to design intelligent, autonomous, and memory-driven agents that scale from prototype to enterprise production. Generative AI Agents in Action is your hands-on guide to mastering the new era of AI development. From LangChain and Retrieval-Augmented Generation (RAG) to modular memory architectures, this book teaches you how to build systems that think, learn, and act with precision and scalability. You'll move beyond simple chatbots to create production-grade AI agents capable of reasoning, context retention, and autonomous task execution. Each chapter walks you through real-world frameworks, code examples, and deployment strategies that align with modern MLOps and DevSecOps workflows. Whether you're an AI engineer, data scientist, or technology leader, this book provides the clarity and structure needed to build intelligent systems ready for real-world integration-secure, efficient, and adaptable. Key Features: Master Core Frameworks: Build advanced AI agents using LangChain, RAG pipelines, and vector databases. Implement Modular Memory: Learn how to design scalable short-term and long-term memory systems for adaptive AI. Production-Ready Architectures: Explore deployment patterns, version control, and monitoring for enterprise-scale AI applications. Secure & Efficient Pipelines: Integrate AI agents with cloud-native tools and ensure compliance in hybrid environments. Hands-On Examples: Follow practical, code-driven tutorials and reusable design patterns for immediate implementation. Take the next step toward building intelligent, autonomous AI systems. Get your copy of Generative AI Agents in Action todayand start creating AI agents that learn, reason, and perform at scale.
Proceedings Of The International Joint Conference On Artificial Intelligence
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1999
Proceedings Of The International Joint Conference On Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Artificial intelligence categories.
Concur
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1995
Concur written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Machine theory categories.